Gender: Female 
Age: 35-44
Nationality: United States
Ethnicity: White / Caucasian;Black or African American 
Marital status: Other (Please Specify) in a committed relationship
First language: English 
Religion: Other, please specify. agnostic
Education: High school or below
Mother's education: Undergraduate degree
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 2
Home: Other (Please specify) live with mom
Employment: Not employed and not looking for work
Occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Mother's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Father's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Hobbies: Listen to hiphop and rap;Exercise;Do arts and crafts 
Devices used daily: Laptop;Smartphone;Other smart tv, smart washer/dryer
NLP tools known: Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT;Microsoft Bing AI;Pi;Other siri
LLM use cases: Proofreading/Editing (e.g., grammar, spelling, structure improvements);Paraphrasing or finding synonyms;Generic chatbot conversation;Generate art;Analyze data;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Entertainment;Work;Personal 
Prompt 1: What happened to Paul walkers car?
Prompt 2: How many ounces of liquid are included in the shot glass?
Prompt 3: Do chickens have periods
Prompt 4: Is cod rank static
Prompt 5: Does YouTube count views from different devices or just one isp
Prompt 6: Do bookmarks background refresh
Prompt 7: What are cinnamon twists made of from Taco Bell
Prompt 8: Snail mucin before or after retinol
Prompt 9: Wil banana neutralize spicy 
Prompt 10: Does developer damage your hair